| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 26 | | adverbTagCount | 3 | | adverbTags | | 0 | "She moved finally [finally]" | | 1 | "she said carefully [carefully]" | | 2 | "She sat back [back]" |
| | dialogueSentences | 71 | | tagDensity | 0.366 | | leniency | 0.732 | | rawRatio | 0.115 | | effectiveRatio | 0.085 | |
| 92.86% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2102 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "slowly" | | 1 | "perfectly" | | 2 | "carefully" |
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| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 78.59% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2102 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "etched" | | 1 | "silence" | | 2 | "velvet" | | 3 | "calculating" | | 4 | "warmth" | | 5 | "flickered" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 106 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 106 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 94.19% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 149 | | gibberishSentences | 2 | | adjustedGibberishSentences | 2 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 84 | | ratio | 0.013 | | matches | | 0 | "\"I missed the first six years of her life, Silas. I was in Karachi. Then Algiers. Then somewhere the地图 didn't have a name for, you remember? The black ops division before they offi…" | | 1 | "\"I know he isn't. That's what makes it unbearable. If he were angry, I could argue with anger. I could match it and抵消 it and turn it into something useful. But he just misses me. H…" |
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| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2102 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 24 | | unquotedAttributions | 0 | | matches | (empty) | |
| 93.82% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 24 | | wordCount | 1068 | | uniqueNames | 7 | | maxNameDensity | 1.12 | | worstName | "Silas" | | maxWindowNameDensity | 2 | | worstWindowName | "Silas" | | discoveredNames | | Silas | 12 | | Prague | 1 | | Soho | 2 | | Marsh | 1 | | Tommy | 2 | | Margot | 5 | | Vienna | 1 |
| | persons | | 0 | "Silas" | | 1 | "Tommy" | | 2 | "Margot" |
| | places | | 0 | "Prague" | | 1 | "Soho" | | 2 | "Marsh" | | 3 | "Vienna" |
| | globalScore | 0.938 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 61 | | glossingSentenceCount | 1 | | matches | | 0 | "as if testing whether the surface would hold" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 2102 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 149 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 68 | | mean | 30.91 | | std | 29.75 | | cv | 0.962 | | sampleLengths | | 0 | 33 | | 1 | 113 | | 2 | 16 | | 3 | 61 | | 4 | 44 | | 5 | 3 | | 6 | 38 | | 7 | 11 | | 8 | 19 | | 9 | 13 | | 10 | 28 | | 11 | 4 | | 12 | 2 | | 13 | 17 | | 14 | 23 | | 15 | 9 | | 16 | 6 | | 17 | 9 | | 18 | 84 | | 19 | 48 | | 20 | 4 | | 21 | 70 | | 22 | 40 | | 23 | 7 | | 24 | 34 | | 25 | 18 | | 26 | 1 | | 27 | 94 | | 28 | 7 | | 29 | 94 | | 30 | 56 | | 31 | 16 | | 32 | 3 | | 33 | 9 | | 34 | 29 | | 35 | 70 | | 36 | 6 | | 37 | 98 | | 38 | 3 | | 39 | 62 | | 40 | 33 | | 41 | 37 | | 42 | 2 | | 43 | 25 | | 44 | 54 | | 45 | 76 | | 46 | 2 | | 47 | 74 | | 48 | 4 | | 49 | 16 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 106 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 200 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 149 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1070 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 30 | | adverbRatio | 0.028037383177570093 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.008411214953271028 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 149 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 149 | | mean | 14.11 | | std | 15.67 | | cv | 1.111 | | sampleLengths | | 0 | 9 | | 1 | 24 | | 2 | 14 | | 3 | 9 | | 4 | 25 | | 5 | 17 | | 6 | 48 | | 7 | 9 | | 8 | 7 | | 9 | 7 | | 10 | 16 | | 11 | 22 | | 12 | 12 | | 13 | 4 | | 14 | 6 | | 15 | 2 | | 16 | 36 | | 17 | 3 | | 18 | 25 | | 19 | 8 | | 20 | 3 | | 21 | 2 | | 22 | 11 | | 23 | 16 | | 24 | 3 | | 25 | 2 | | 26 | 5 | | 27 | 6 | | 28 | 2 | | 29 | 4 | | 30 | 22 | | 31 | 4 | | 32 | 2 | | 33 | 9 | | 34 | 8 | | 35 | 3 | | 36 | 3 | | 37 | 17 | | 38 | 9 | | 39 | 6 | | 40 | 9 | | 41 | 3 | | 42 | 22 | | 43 | 2 | | 44 | 24 | | 45 | 3 | | 46 | 25 | | 47 | 5 | | 48 | 7 | | 49 | 29 |
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| 45.64% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 17 | | diversityRatio | 0.3422818791946309 | | totalSentences | 149 | | uniqueOpeners | 51 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 87 | | matches | | 0 | "Then her attention returned to" | | 1 | "Always that one." | | 2 | "Just something to do with" |
| | ratio | 0.034 | |
| 22.30% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 43 | | totalSentences | 87 | | matches | | 0 | "She stood in the doorway" | | 1 | "It was the kind of" | | 2 | "Her hair, what he could" | | 3 | "He set down the glass" | | 4 | "She didn't move from the" | | 5 | "Her eyes swept the room," | | 6 | "He glanced up at the" | | 7 | "He'd hung them when he" | | 8 | "She moved finally, crossing to" | | 9 | "She took the stool second" | | 10 | "he said, reaching for the" | | 11 | "She placed both hands flat" | | 12 | "He pushed it across without" | | 13 | "He watched her drink." | | 14 | "She set the glass down" | | 15 | "He turned the glass slowly" | | 16 | "She laughed, a dry sound," | | 17 | "She poured another measure" | | 18 | "He'd learned long ago that" | | 19 | "It was smaller than that." |
| | ratio | 0.494 | |
| 40.46% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 73 | | totalSentences | 87 | | matches | | 0 | "The door hadn't opened yet," | | 1 | "She stood in the doorway" | | 2 | "It was the kind of" | | 3 | "Her hair, what he could" | | 4 | "The woman who once wore" | | 5 | "He set down the glass" | | 6 | "The cloth went into his" | | 7 | "She didn't move from the" | | 8 | "Her eyes swept the room," | | 9 | "The way her gaze lingered" | | 10 | "He glanced up at the" | | 11 | "He'd hung them when he" | | 12 | "She moved finally, crossing to" | | 13 | "She took the stool second" | | 14 | "he said, reaching for the" | | 15 | "She placed both hands flat" | | 16 | "The bottle was nearly full." | | 17 | "He pushed it across without" | | 18 | "He watched her drink." | | 19 | "Neither of them spoke for" |
| | ratio | 0.839 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 87 | | matches | (empty) | | ratio | 0 | |
| 7.72% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 37 | | technicalSentenceCount | 7 | | matches | | 0 | "It was the kind of deliberate wrongness that suggested someone who had stopped caring about fit and started caring about whether the buttons stayed closed." | | 1 | "Tommy's last operation had been a disaster, one of those grey-zone infiltrations that dissolved like sugar in rain the moment it touched anything solid." | | 2 | "People who'd been carrying something too long couldn't resist the gravity of a good pause." | | 3 | "Something that had outlived the sharp edges and found what remained underneath wasn't any better." | | 4 | "Just something to do with his hands that wasn't folding his arms tighter, the way he did when he felt the ground shifting beneath him." | | 5 | "Low, precise, stripped of everything that didn't serve the information." | | 6 | "The sudden absence left the room quieter than quiet, the kind of silence that presses against the ears." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 26 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 3 | | fancyTags | | 0 | "Margot continued (continue)" | | 1 | "She laughed (laugh)" | | 2 | "she added (add)" |
| | dialogueSentences | 71 | | tagDensity | 0.155 | | leniency | 0.31 | | rawRatio | 0.273 | | effectiveRatio | 0.085 | |